The Spice Page SPICE is a general-purpose circuit simulation program for nonlinear dc, nonlinear transient, and linear ac analyses. Circuits may contain resistors, capacitors, inductors, mutual inductors, independent voltage and current sources, four types of dependent sources, lossless and lossy transmission lines (two separate implementations), switches, uniform distributed RC lines, and the fiv
Hello and welcome to the Executive Education resource page. We've posted the slide decks from the Bootcamp class here for your reference as you continue to infuse design thinking into your work and into your organization. If you have any questions about these resources, please email us at exec_ed@dschool.stanford.edu These resources by Hasso Plattner Institute of Design at Stanford are licensed un
“Superfoods,” “power foods,” “top 10 foods”—do these titles catch your attention? For those of us seeking to improve our health, the notion of a superfood can be appealing. We may imagine a powerful food with special abilities like promoting weight loss or healing disease. There’s no scientifically based or regulated definition for superfood, but generally, a food is promoted to superfood status w
Philosophy and the Science of Human Nature with Tamar Gendler "To understand the structure of the human soul we must understand the structure of society; to understand the structure of society we must understand the structure of the human soul." Roman Architecture with Diana E. E. Kleiner "To construct soaring vaults out of concrete, to face them with brick, to create windows large enough to demat
CS224d: Deep NLP Lecture 9: Wrap up: LSTMs and Recursive Neural Networks Richard Socher richard@metamind.io Overview 4/29/16 Richard Socher 2 Video issues and fire alarm Finish LSTMs Recursive Neural Networks • Motivation:Compositionality • Structure prediction:Parsing • Backpropagation through Structure • Vision Example Next Lecture: • RvNN improvements Long-short-term-memories (LSTMs) 4/29/16 Ri
本田直樹 生命科学研究科准教授、山口正一朗 情報学研究科修士課程学生(現・株式会社Preferred Networks)、石井信 同教授らの研究グループは、動物の行動データから報酬に基づく行動戦略を明らかにする機械学習法を考案しました。さらに、森郁恵 名古屋大学教授らと共同で、この手法を線虫の行動へと応用することで、その有効性を示しました。本手法によって、従来の行動が制限された行動実験系から開放され、より自然な状況において自由に振る舞う動物の行動戦略の研究が進むことが期待されます。 本研究成果は、2018年5月15日に米国の学術誌「PLoS Computational Biology」に掲載されました。 ヒトや動物は、さまざまな状況に対してそれぞれ価値付けを行い、より価値の高い状況を目指す戦略を取っていると考えられます。今回私たちは、動物の行動データからその裏に潜む戦略を解読する計算論的手
Consistency of Preferences and Near-Potential Games Ozan Candogan, Ishai Menache, Asu Ozdaglar and Pablo A. Parrilo Laboratory for Information and Decision Systems Electrical Engineering and Computer Science Massachusetts Institute of Technology LCCC - Lund - March 2010 1 / 40 Outline 1 Introduction 2 Potential Games Definition and Properties Characterization 3 Global Structure of Preferences Helm
The platform consists of MIT faculty, researchers and industry partners. Simon Camilo Büchler is a Post-Doctoral Fellow at the MIT/CRE affiliated to the Real Estate Price Dynamics Platform. He received his Ph.D. in Economics from the University of Bern in February 2020 with the thesis “How do economic forces affect the real estate market”. Simon Camilo Büchler, PhD Postdoctoral Fellow, MIT Cen
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